WebAbstract: As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels. Published in: Computer ( Volume: 42 , Issue ... WebYehuda Koren∗ Yahoo! Research Haifa 31905, Israel Chris Volinsky AT&T Labs – Research Florham Park, NJ 07932 Abstract A common task of recommender systems is to improve customer experience through personalized recommenda-tions based on prior implicit feedback. These systems pas-sively track different sorts of user behavior, such …
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